Super-resolution human-silhouette imaging by joint optimization of coded illumination and reconstruction network: a simulation study

IF 1.1 4区 物理与天体物理 Q4 OPTICS
Shunsuke Sakoda, Tomoya Nakamura, Yasushi Yagi
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引用次数: 0

Abstract

In surveillance camera systems and other human-image analysis systems, it is important to measure human shapes with high resolution. However, the spatial resolution and image quality achievable through approaches based solely on optical design and image processing are fundamentally limited by hardware constraints and the inherent difficulty of the inverse problems involved. To overcome these limitations, we propose a super resolution imaging system for human silhouettes based on a jointly-optimized design involving coded illumination patterns and reconstruction networks. Our proposed method allows for the acquisition of human silhouette data with improved sampling resolution without modifying the camera hardware. We quantitatively demonstrated the effectiveness of our proposed method through simulations and also through optical experiments using a projector and a camera.

编码照明与重构网络联合优化的超分辨率人体轮廓成像仿真研究
在监控摄像系统和其他人体图像分析系统中,以高分辨率测量人体形状是非常重要的。然而,仅基于光学设计和图像处理的方法所获得的空间分辨率和图像质量从根本上受到硬件约束和所涉及的逆问题的固有难度的限制。为了克服这些限制,我们提出了一种基于编码照明模式和重建网络的联合优化设计的超分辨率人体轮廓成像系统。我们提出的方法允许在不修改相机硬件的情况下以改进的采样分辨率获取人体轮廓数据。我们通过模拟和使用投影仪和相机的光学实验,定量地证明了我们提出的方法的有效性。
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来源期刊
Optical Review
Optical Review 物理-光学
CiteScore
2.30
自引率
0.00%
发文量
62
审稿时长
2 months
期刊介绍: Optical Review is an international journal published by the Optical Society of Japan. The scope of the journal is: General and physical optics; Quantum optics and spectroscopy; Information optics; Photonics and optoelectronics; Biomedical photonics and biological optics; Lasers; Nonlinear optics; Optical systems and technologies; Optical materials and manufacturing technologies; Vision; Infrared and short wavelength optics; Cross-disciplinary areas such as environmental, energy, food, agriculture and space technologies; Other optical methods and applications.
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